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09/14/2023
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
Large language models (LLMs) have shown remarkable capabilities in Natur...
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08/24/2023
Large Language Models Vote: Prompting for Rare Disease Identification
The emergence of generative Large Language Models (LLMs) emphasizes the ...
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08/04/2023
From Military to Healthcare: Adopting and Expanding Ethical Principles for Generative Artificial Intelligence
In 2020, the U.S. Department of Defense officially disclosed a set of et...
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06/05/2023
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records
Objective: To pre-train fair and unbiased patient representations from E...
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05/30/2023
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
A human decision-maker benefits the most from an AI assistant that corre...
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04/12/2023
ReDWINE: A Clinical Datamart with Text Analytical Capabilities to Facilitate Rehabilitation Research
Rehabilitation research focuses on determining the components of a treat...
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03/22/2023
Extracting Physical Rehabilitation Exercise Information from Clinical Notes: a Comparison of Rule-Based and Machine Learning Natural Language Processing Techniques
Physical rehabilitation plays a crucial role in the recovery process of ...
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09/14/2022
Automated Fidelity Assessment for Strategy Training in Inpatient Rehabilitation using Natural Language Processing
Strategy training is a multidisciplinary rehabilitation approach that te...
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09/14/2022
Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models
Health literacy is the central focus of Healthy People 2030, the fifth i...
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08/31/2022
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks
Clinical Natural Language Processing (NLP) has become an emerging techno...
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08/19/2022
Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes
Semantic textual similarity (STS) in the clinical domain helps improve d...
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03/09/2022
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing
Deep learning algorithms are dependent on the availability of large-scal...
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04/19/2021
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes
Major depressive disorder (MDD) is a prevalent psychiatric disorder that...
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06/19/2020
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
COVID-19 has resulted in an ongoing pandemic and as of 12 June 2020, has...
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10/24/2019
Development of Clinical Concept Extraction Applications: A Methodology Review
Our study provided a review of the development of clinical concept extra...
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10/24/2019
A Review of the End-to-End Methodologies for Clinical Concept Extraction
Our study provided a review of the concept extraction literature from Ja...
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08/21/2019
How Good is Artificial Intelligence at Automatically Answering Consumer Questions Related to Alzheimer's Disease?
Alzheimer's Disease (AD) is the most common type of dementia, comprising...
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05/17/2019
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Machine learning has become ubiquitous and a key technology on mining el...
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01/22/2019
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model
Background: Widespread adoption of electronic health records (EHRs) has ...
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08/28/2018
MedSTS: A Resource for Clinical Semantic Textual Similarity
The wide adoption of electronic health records (EHRs) has enabled a wide...
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04/20/2018
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction
Objective: To automatically create large labeled training datasets and r...
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02/01/2018